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Applied Intuition · 4 months ago

Autonomous Systems Perception Engineer

Ann Arbor, Michigan, United States

Full-time

Onsite

Mid, Senior Level

$140K/yr - $220K/yr

5+ years exp

Applied Intuition is a vehicle intelligence company focused on accelerating the adoption of safe, AI-driven machines. As a Perception Autonomy Engineer at EpiSci, you will develop, integrate, and maintain real-time sensor software solutions for various autonomous vehicles, working closely with teams to enhance capabilities and deliver superior customer experiences.

Artificial Intelligence (AI)Autonomous VehiclesEnterprise SoftwareInfrastructureSoftware

No H1B

Security Clearance Required

U.S. Citizen Only

Responsibilities

Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors

Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)

Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogenous platform swarms in on-site DoD testing and demonstration events

Deploy containerized autonomy solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data

Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience

Work closely with our existing team to internally triage technical problems and scope

Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers

Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis

Implement improvement plans for future integration efforts based on simulation analysis and customer feedback

Qualification

AI/ML algorithmsSensor integrationEmbedded LinuxSensor modalitiesC++ developmentTracking basicsCommunication skillsProblem-solvingTeam collaboration

Required

MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration

Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)

Core understanding of sensor physics and sensor control parameters

Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)

Familiarity with tracking basics (e.g., Kalman filters) and optimal sensor fusion

Experience working comfortably in Windows, Linux, and Docker

Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision

Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)

Must be a U.S. Citizen

Must hold or be eligible to obtain and maintain a U.S. security clearance